Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
在文创空间里，传统的秦琼、尉迟恭不再是唯一的主角。印着“雪人”形象的木版画成了游客争相拍照的爆款——这是村里与茶饮品牌蜜雪冰城联名推出的新尝试。。关于这个话题，51吃瓜提供了深入分析
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arr[k++] = leftArr[i++];
Сайт Роскомнадзора атаковали18:00。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析